We are analyzing https://link.springer.com/article/10.1186/1471-2407-7-64.

Title:
Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process | BMC Cancer
Description:
Background Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. Methods Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. Results The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). Conclusion We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer.
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Keywords {🔍}

metastatic, prostate, cancer, expression, samples, genes, gene, pubmed, article, google, scholar, primary, analysis, cas, tumors, tumor, androgen, metastasis, patient, study, data, affymetrix, cell, expressed, differentially, transcripts, disease, bone, codelink, patients, involved, tissue, molecular, arrays, set, rna, table, shown, central, results, upregulated, sample, regulated, values, figure, stromal, downregulated, spp, cells, identified,

Topics {✒️}

genome-wide expression patterns quantitative real-time pcr real-time quantitative pcr androgen-insensitive prostate cancer alpha-methylacyl-coa racemase androgen-independent prostate cancer organ-confined prostate cancer delta-delta ct method 2-[delta][delta]ct method pre-publication history article download pdf full size image nf-kappab signaling pathways hormone-refractory prostate carcinoma organ-specific expression profiles recent report characterizing biotin-labeled crna product gene expression profiling organ-confined prostate tumors tgf-beta family members z-transformed expression values full access androgen resistant disease androgen-resistant disease tumor-bone cellular interactions cell-cycle related transcripts postmortem brain research cwr22 model system related subjects differential gene expression gene expression profiles privacy choices/manage cookies prostate cancer biology organ-confined tissues prostate gene expression metastatic prostate cancer gene expression array dna microarray data gene expression values human prostate cancer metastatic samples reveals androgen ablation primary prostate cancer breast cancer cells reduced androgen dependence gene expression analysis gleason grading system biotin-labeled crna published gene lists gene expression signatures

Schema {🗺️}

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         headline:Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process
         description:Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer.
         datePublished:2007-04-12T00:00:00Z
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            Prostate Cancer
            Androgen
            Metastatic Prostate Cancer
            Androgen Ablation
            Metastatic Sample
            Cancer Research
            Oncology
            Surgical Oncology
            Health Promotion and Disease Prevention
            Biomedicine
            general
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      headline:Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process
      description:Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer.
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      dateModified:2007-04-12T00:00:00Z
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         Androgen
         Metastatic Prostate Cancer
         Androgen Ablation
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         Cancer Research
         Oncology
         Surgical Oncology
         Health Promotion and Disease Prevention
         Biomedicine
         general
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